Triple
T36141243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Light in Your Eyes |
E1045308
|
entity |
| Predicate | hasArtistLabel |
P5936
|
FINISHED |
| Object | Sheryl Crow |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Sheryl Crow | Statement: [Light in Your Eyes, hasArtistLabel, Sheryl Crow]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasArtistLabel Context triple: [Light in Your Eyes, hasArtistLabel, Sheryl Crow]
-
A.
recordLabelArtist
Indicates that a musical artist is signed to, represented by, or releases recordings through a particular record label.
-
B.
hasRecordLabel
Indicates that an entity (typically a musical artist or release) is associated with or signed to a particular record label.
-
C.
originalArtistLabel
Indicates that a label is the original record label associated with the artist.
-
D.
hasArtist
chosen
Indicates that an entity (such as a work or item) is associated with or created by a specific artist.
-
E.
musicLabelType
Indicates the specific category or classification of a music label, such as its role, scope, or organizational type.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f76e37ace88190a906b107d388f5d1 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fe6fea4a288190bf8615c5d6bf41b4 |
completed | May 8, 2026, 11:21 p.m. |
| PD | Predicate disambiguation | batch_69fe6f774de08190975a2393b9a1fd22 |
completed | May 8, 2026, 11:19 p.m. |
Created at: May 3, 2026, 4:08 p.m.